guillaumejaume / graph-neural-networks-roadmap

Related projects: ⓘ

• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆280Updated 3 years ago
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆326Updated 3 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 2 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆133Updated 5 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆324Updated 3 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆394Updated 3 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆190Updated 6 months ago
• snap-stanford / GraphRNN
  ☆410Updated 5 years ago
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆438Updated 5 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆336Updated 2 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆266Updated last year
• RexYing / diffpool
  ☆472Updated 3 years ago
• dbusbridge / gcn_tutorial
  A tutorial on Graph Convolutional Neural Networks
  ☆315Updated 3 years ago
• vuptran / graph-representation-learning
  Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
  ☆252Updated 5 years ago
• shagunsodhani / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆279Updated 5 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆251Updated 6 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆399Updated 4 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆186Updated 2 years ago
• mengliu1998 / awesome-deep-gnn
  Papers about developing deep Graph Neural Networks (GNNs)
  ☆300Updated last year
• benedekrozemberczki / MixHop-and-N-GCN
  An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
  ☆402Updated last year
• sunfanyunn / InfoGraph
  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …
  ☆311Updated 8 months ago
• inyeoplee77 / SAGPool
  Official PyTorch Implementation of SAGPool - ICML 2019
  ☆360Updated 10 months ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆180Updated 2 years ago
• PetarV- / DGI
  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
  ☆622Updated last year
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…
  ☆258Updated last year
• bmsookim / graph-cnn.pytorch
  Pytorch Implementation for Graph Convolutional Neural Networks
  ☆325Updated 6 years ago
• baldassarreFe / graph-network-explainability
  Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…
  ☆117Updated 4 years ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆317Updated last year
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆754Updated last year
• HongyangGao / Graph-U-Nets
  Pytorch implementation of Graph U-Nets (ICML19)
  ☆513Updated 4 years ago